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DatabricksQueryTool

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Description

Run SQL against Databricks workspace tables with either CLI profile or direct host/token authentication.

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Installation

uv add crewai-tools[databricks-sdk]

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Environment Variables

  • DATABRICKS_CONFIG_PROFILE or (DATABRICKS_HOST + DATABRICKS_TOKEN)
Create a personal access token and find host details in the Databricks workspace under User Settings → Developer. Docs: https://docs.databricks.com/en/dev-tools/auth/pat.html

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Example

Code
from crewai import Agent, Task, Crew
from crewai_tools import DatabricksQueryTool

tool = DatabricksQueryTool(
    default_catalog="main",
    default_schema="default",
)

agent = Agent(
    role="Data Analyst",
    goal="Query Databricks",
    tools=[tool],
    verbose=True,
)

task = Task(
    description="SELECT * FROM my_table LIMIT 10",
    expected_output="10 rows",
    agent=agent,
)

crew = Crew(
    agents=[agent],
    tasks=[task],
    verbose=True,
)
result = crew.kickoff()

print(result)

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Parameters

  • query (required): SQL query to execute
  • catalog (optional): Override default catalog
  • db_schema (optional): Override default schema
  • warehouse_id (optional): Override default SQL warehouse
  • row_limit (optional): Maximum rows to return (default: 1000)

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Defaults on initialization

  • default_catalog
  • default_schema
  • default_warehouse_id

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Error handling & tips

  • Authentication errors: verify DATABRICKS_HOST begins with https:// and token is valid.
  • Permissions: ensure your SQL warehouse and schema are accessible by your token.
  • Limits: long‑running queries should be avoided in agent loops; add filters/limits.